科学技术与工程
科學技術與工程
과학기술여공정
SCIENCE TECHNOLOGY AND ENGINEERING
2015年
22期
148-152,166
,共6页
谢昆%姜康%于登飞%夏文杰
謝昆%薑康%于登飛%夏文傑
사곤%강강%우등비%하문걸
采油微生物%油藏%反应动力学%数学模型
採油微生物%油藏%反應動力學%數學模型
채유미생물%유장%반응동역학%수학모형
oil recovery microorganism%reservoir%reaction kinetics%mathematical model
为更深入了解微生物提高原油采收率机理,建立起有实验支持的微生物油藏反应动力学数学模型,从蒙古林油田水样筛选得到的一株能以烃类为唯一碳源高产生物表面活性剂鼠李糖脂的烃降解菌wj-1(经鉴定为铜绿假单胞菌Pseudomonas aeruginosa),在模拟油藏环境条件下,以石油为唯一碳源对其进行反应动力学研究,基于Logistic方程、Luedeking-Piret方程和物质守恒方程建立了该采油微生物在油藏中的菌体生长、产物合成和营养基质消耗动力学模型,并通过Origin 8.0软件对模型进行非线性拟合,得出了模型参数,经验证,模型预测值与实验值拟合度较高,表明所建立的模型能较好的描述及预测采油微生物在油藏中的反应动力学过程。
為更深入瞭解微生物提高原油採收率機理,建立起有實驗支持的微生物油藏反應動力學數學模型,從矇古林油田水樣篩選得到的一株能以烴類為唯一碳源高產生物錶麵活性劑鼠李糖脂的烴降解菌wj-1(經鑒定為銅綠假單胞菌Pseudomonas aeruginosa),在模擬油藏環境條件下,以石油為唯一碳源對其進行反應動力學研究,基于Logistic方程、Luedeking-Piret方程和物質守恆方程建立瞭該採油微生物在油藏中的菌體生長、產物閤成和營養基質消耗動力學模型,併通過Origin 8.0軟件對模型進行非線性擬閤,得齣瞭模型參數,經驗證,模型預測值與實驗值擬閤度較高,錶明所建立的模型能較好的描述及預測採油微生物在油藏中的反應動力學過程。
위경심입료해미생물제고원유채수솔궤리,건립기유실험지지적미생물유장반응동역학수학모형,종몽고림유전수양사선득도적일주능이경류위유일탄원고산생물표면활성제서리당지적경강해균wj-1(경감정위동록가단포균Pseudomonas aeruginosa),재모의유장배경조건하,이석유위유일탄원대기진행반응동역학연구,기우Logistic방정、Luedeking-Piret방정화물질수항방정건립료해채유미생물재유장중적균체생장、산물합성화영양기질소모동역학모형,병통과Origin 8.0연건대모형진행비선성의합,득출료모형삼수,경험증,모형예측치여실험치의합도교고,표명소건립적모형능교호적묘술급예측채유미생물재유장중적반응동역학과정。
For the purpose of deeply learning about the mechanism of microorganism enhance d oil recovery and building up the mathematical models of microorganism reaction kinetics, exactly based on the reservoir experiment data, the microorganism reaction kinetics research carried out in special reservoir condition, taking a strain of hy-drocarbon degrading bacteria as research object.The bacteria named wj-1, identified as pseudomonas aeruginosa and filtrating from Mongolia Lin oilfield, can produce high concentration of biosurfactant rhamnolipid through feed-ing on oil as carbon source.Based on equation Logistic and equation Luedeking-Piret, kinetics models of bacteria growth, metabolite synthesis and substrate consumption were built up.Model parameters gained through nonlinear fitting in built up models by software Origin 8.0.And experiment values and predicted values from models could well matched, indicating that the models could well predict microbic reaction process in the reservoir condition.